yolo

Execute full software task pipelines from planning through local commit without approval gates.

3|Updated May 11, 2026
One-click install
npx skills add https://github.com/nadyshalaby/hackify --skill yolo-nadyshalaby
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: yolo
Source: https://github.com/nadyshalaby/hackify/tree/main/skills/yolo
Command: npx skills add https://github.com/nadyshalaby/hackify --skill yolo-nadyshalaby

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill removes waiting from the Hackify workflow by letting the assistant run the full task pipeline autonomously, while still preserving clarifying questions, planning, review, verification, and finish discipline.

Core Features & Use Cases

  • Autonomous execution: Runs the same end-to-end Hackify phases without pausing for plan approval or finish-menu decisions.
  • Parallel review and verification: Keeps spec review, implementation waves, evidence-based verification, and multi-reviewer checks intact so speed does not replace rigor.
  • YOLO-specific behavior: Auto-discovery can trigger from phrases like yolo, go full auto, or just do it, and it uses an in-chat plan instead of a work-doc.
  • Use case: A developer asks for a small feature or fix and wants the assistant to complete it from clarification through local commit with no back-and-forth gating.

Quick Start

Use the yolo skill when you want the assistant to take an ambiguous but self-contained coding task from clarification through local commit without waiting for plan sign-off.

Frequently Asked Questions about yolo

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate code review and commit without waiting for plan approval?

An autonomous workflow assistant handles the entire task pipeline from clarification through local commit without pausing for plan approval. It applies clarifying questions, parallel implementation, fresh verification, and multi-reviewer code review to self-contained software changes automatically.

How do I run parallel implementation and verification for self-contained coding tasks?

Parallel implementation and fresh verification run simultaneously during autonomous task execution, keeping spec review, implementation waves, and multi-reviewer checks intact. This ensures speed does not replace rigor when completing self-contained software changes from start to local commit.

Can I auto-fix code review findings across all severities without manual intervention?

Autonomous execution auto-fixes review findings across all severities without manual intervention. It applies multi-reviewer checks and evidence-based verification during the task pipeline, ensuring all discovered issues are resolved before completing the local commit.

Does autonomous task execution work with in-chat planning instead of a persistent work-doc?

Autonomous execution requires in-chat planning instead of a persistent work-doc, running the full task pipeline without waiting for user approval. It triggers from phrases like yolo, go full auto, or just do it, and completes the local commit autonomously.

When should I avoid using autonomous code execution for software changes?

Avoid autonomous execution for tasks that are not self-contained or require explicit manual gating at plan or finish stages. It is designed for self-contained software changes that benefit from clarifying questions, parallel implementation, and multi-reviewer review without back-and-forth approval.